Dynamic paths of the European economy: simulations using an EU aggregate model

Using an aggregate econometric model for the EU we investigate by simulation methods some dynamic paths of the European economy in the next five years under alternative hypotheses concerning the growth of world demand, the European currency/USD exchange rate, and the monetary policy.econometric model,simulation,structural change,European economy, monetary policy

A Zero Energy Concept Building for the Mediterranean Climate

open4siThe Mediterranean climate distinguishes for a mild heating season and a hot (and usually dry) cooling season. All along the year solar radiation is plentiful and the daily range of temperature during the summer is large, due to dry and clear conditions. This environment allowed to design and build a zero energy concept building (a detached single family house) on the basis of passive heating and cooling technologies, supported, when required, by short time active conditioning. The design process was optimized by extensive energy simulations, resulting in an optimal energy balance and favorable thermal comfort conditions along the year. The building is instrumented with an accurate building automation control system, and a number of sensors for a detailed energy and environmental monitoring. The monitoring equipment and framework, have been devised to support further detailed studies to improve the design concept and to provide accurate and comprehensive data to the scientific community.Causone, Francesco; Carlucci, Salvatore; Pagliano, Lorenzo; Pietrobon, MarcoCausone, Francesco; Carlucci, Salvatore; Pagliano, Lorenzo; Pietrobon, Marc

An Exergy Analysis for Milano Smart City

Cities represent fundamental hubs in the world's energy-flow network, and their role is expected to gain further relevance in the next decades, following the ongoing urbanization process. Reducing energy use and increasing energy efficiency are crucial aspects for both existing and planned cities, and many policies have been established to pursue these objectives. However, in smart cities, as the ones envisioned in many on-going research projects, energy should also be used in a smart way, that is reducing the energy degradation in terms ofcapacity to generate useful work. Starting from the literature, the paper proposes an analysis method, based on exergy, to support smart city planning, with the aim to provide the decision maker with a useful tool to compare and understand the energy-smartness of different scenarios, and to address future energy urban policies. Possibilities and limitations of the analysis method are discussed via the application to the city of Milano that committed to become a smart city

Assessing energy performance of smart cities

The massive urbanization process registered since 1950s and projected to continue for the coming decades is posing a crucial issue for the management of existing cities and the planning of future ones. Smart cities are often envisioned as ideal urban environments where the different dimensions of a city, such as economy, education, energy, environment, finance, etc., are managed in an effective and proactive way. Nevertheless, in order to reach this remarkable and challenging objective, analysis tools are required to create scenarios that are able to inform policy makersâ\u80\u99 decisions. Focusing on energy, this paper proposes an analysis method, based on exergy, to support smart city planning. It may help the decision makers to assess the energy-smartness of different scenarios, and to address urban energy policies. Possibilities and limitations of the analysis method are discussed via the application to the cities of London, Milan, and Lisbon that committed to become smart cities. Practical application: The paper summarizes a study on the possibilities and limitations of adopting an assessment technique, based on exergy, in order to evaluate the energy-smartness of policies in existing and future smart cities. As highlighted in the paper, buildingâ\u80\u99s energy uses have a huge share of many citiesâ\u80\u99 energy breakdown. Thus, professionals in the building industry will be interested in the paper not only because it refers to smart cities, but because the built environment plays a pivotal role in them. Professionals may also refer to this study to perform a similar analysis in other urban environments to support decision makers

Energy retrofit of a day care center for current and future weather scenarios

Many scientific evidences have shown that Earth’s climate is rapidly changing. By 2050, European Union is aiming to significantly reduce greenhouse gas emissions (GHG) in the building sector. Achieving this target might help the mitigation of global warming, but the climate change seems inevitable. This means that both new and refurbished buildings should be able to face those conditions that they are going to experience during their lifetime. Therefore, any building design should be checked both for current and future climate scenarios. This study describes the use of a downscaling method named morphing to generate future weather scenarios and intends to support the design process of a deep energy retrofit of a day care center in order to improve the energy and thermal comfort performance of the building under the current and future weather scenarios. The retrofit concept of the building also includes hybrid ventilation, automated solar shading, lighting controls and renewable energy generation systems

Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II)

Multi-objective optimization methods provide a valid support to buildings' design. They aim at identifying the most promising building variants on the basis of diverse and potentially contrasting needs. However, optimization has been mainly used to optimize the energy performance of buildings, giving secondary importance to thermal comfort and usually neglecting visual comfort and the indoor air quality. The present study addresses the design of a detached net zero-energy house located in Southern Italy to minimize thermal and visual discomfort. The optimization problem admits four objective functions (thermal discomfort during winter and summer and visual discomfort due to glare and an inappropriate quantity of daylight) and uses the non-dominated sorting genetic algorithm, implemented in the GenOpt optimization engine through the Java genetic algorithms package, to instruct the EnergyPlus simulation engine. The simulation outcome is a four-dimensional solution set. The building variants of the Pareto frontier adopt diverse and non-intuitive design alternatives. To derive good design practices, two-dimensional projections of the solution set were also analyzed. Finally, in cases of complex optimization problems with many objective functions, optimization techniques are recommended to effectively explore the large number of available building variants in a relatively short time and, hence, identify viable non-intuitive solutions

A Hedonic Analysis of Processed Tomato Prices Using Italian Regional Markets Data

The Italian market of processed tomatoes (whole peeled and unpeeled tomatoes, chopped tomato pulp, tomato purée, and concentrated tomato paste) rose, thanks to the Italian tradition of using such products in many recipes of cuisine, until early 2000; since then, it has declined to date. Moreover, such products are traditionally considered low-price products, and their market is characterized by intense price competition. Thus, recently, producers have started to differentiate their products as a way to achieve higher margins, and escape from competition in price. By using the sales data of Italian processed tomatoes sold in several retail stores and a hedonic price model, we estimated the implicit prices associated with several attributes that are currently available in processed tomato products on the market. We find that a protected designation of origin, organic certification, and flavoring, as well as the indication of tomato variety, are the most valuable features of processed tomato products sold in the Italian market. This implies that product differentiation strategies that could be suggested to producers as the most effective are those aimed at enhancing the territorial link of the product, the environmental sustainability of the production process, and organoleptic product features, as well as its convenience

Ventilation strategies for the deep energy retrofit of a kindergarten

The scientific literature often reports example of educational buildings with extremely poor ventilation performance. An in-field investigation for the environmental and energy assessment of a kindergarten in Milano, confirmed that operable windows were not operated when the average daily temperature dropped below 14 °C, jeopardizing indoor air quality and kids learning performance. Seven different ventilation strategies were therefore simulated, in order to evaluate the one that better fitted a general project of deep energy retrofit of the building, including building envelope and systems. The best scenario resulted to be the one using hybrid ventilation at nighttime and mechanical ventilation at daytime. Both energy and thermal comfort conditions were evaluated and a tradeoff between them was established. Nighttime ventilation showed to be extremely effective in improving thermal comfort conditions, during the cooling season. It resulted much better than mechanical ventilation in the simulated case study. Simulations show that under moderate weather conditions and if the building is properly operated (ventilation, lighting and solar screening systems) the retrofitted building may perform well also without additional active cooling

Un’applicazione del modello ontologico ReDO agli strumenti di programmazione e governo dello sviluppo regionale europeo

Il progetto di ricerca ReDO, ha l’obiettivo di sviluppare una ontologia della programmazione dello sviluppo regionale europeo. L’applicazione ReDO 2.0, nell’ottica di una ontologia “ready to use”, applica l’approccio ontologico al Programma Operativo FESR Regione Basilica 2007-2013 valutando vantaggi e problematiche connesse con tale rappresentazione. Il lavoro descrive i risultati della ricerca in relazione all’applicazione delle ontologia ai sistemi di governo del territorio. Dalla valutazione del caso di studio proposto, vengono definiti possibili scenari concettuali e applicativi nel settore della valutazione di piani e programmi e dell’interoperabilità dei sistemi cognitivi a servizio dei processi di pianificazione